Dealing with uncertainties in simulations

Understanding uncertainties is crucial when designing computer simulations. Incorporating such uncertainties in simulations and mapping the bandwith of possbile values  is the central topic of the inaugural lecture of Daan Crommelin at the University of Amsterdam on Thursday 21 April 2016.

Publication date: 20-04-2016

Understanding uncertainties is crucial when designing computer simulations. Incorporating such uncertainties in simulations and mapping the bandwith of possbile values  is the central topic of the inaugural lecture of Daan Crommelin at the University of Amsterdam on Thursday 21 April 2016.

Uncertainties can for instance be introduced by chaotic behaviour, approximations, micro-macro interactions, fluctuating model input or uncertain parameters. The role of uncertainties in simulations is a matter of growing importance in applied mathematics.

A core challenge is to design algorithms with a realistic computing time. This challenge is relevant to numerous application domains. Crommelin will in particular discuss simulations of climate systems and energy networks.

This lecture will be held on the occasion of the inauguration of Daan Crommelin as professor by special appoint in Numerical Analysis and Dynamic Systems at the University of Amsterdam. Crommelin is group leader of the Scientific Computing group at CWI. His research focuses on stochastic methods for multiscale dynamical systems, rare event simulation, estimation of stochastic models and applications in atmosphere-ocean science and energy systems. He has a part-time appointment at the University of Amsterdam.

 

Source: UvA Persvoorlichting
Image: Dirk Gillissen